Priyatham Kattakinda

CTO

Silver Spring, Maryland, United States7 yrs 8 mos experience

Highly Stable

Key Highlights

Led development of AI reliability tools.
Awarded Outstanding Graduate Assistant.
Co-founded a media tech startup.

Stackforce AI infers this person is a skilled AI engineer with a focus on machine learning and deep learning applications.

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Skills

Core Skills

Machine LearningDeep LearningComputer Vision

Other Skills

PythonTensorFlowPyTorchSignal ProcessingPhotographyPhotographic Lighting

About

I am the Technical Lead at RELAI (https://relai.ai), where we are building a platform and a suite of tools to make AI systems more reliable, robust, and continuously improving. My work centers on designing and leading the development of agentic solutions that generate grounded synthetic benchmarks, evaluate and optimize the robustness of other AI agents, and provide developers with streamlined tools to build, monitor, and enhance intelligent systems. As the technical lead, I manage our developer team and coordinate the design and implementation of all major platform features: from infrastructure and agent orchestration to user-facing interfaces. My focus is on bridging cutting-edge AI research with production-grade engineering, helping teams build trustworthy and reproducible AI systems that perform reliably in real-world settings.

Experience

7 yrs 8 mos

Total Experience

3 yrs

Average Tenure

1 yr 8 mos

Current Experience

Relai

Technical Lead

Sep 2024 – Present · 1 yr 8 mos · Maryland, United States · Remote

Lead the design and development of RELAI’s platform for building robust and reliable AI systems, including agentic frameworks for benchmarking, optimization, and continuous evaluation.
Manage and mentor a cross-functional developer team, coordinating feature development across infrastructure, agent orchestration, and user interfaces.

PythonDeep LearningMachine LearningTensorFlowPyTorch

University of maryland

Graduate Assistant

Aug 2020 – Aug 2024 · 4 yrs · College Park, Maryland, United States · On-site

My research primarily focused on various aspects of AI model reliability, including the robustness of vision models, LLMs, and the development of robust image representations, among other projects.
Successfully completed two NSF I-Corps programs (one regional and one national), gaining insights into the commercialization of our research.
Recognized with the Outstanding Graduate Assistant award during this period.

Machine LearningDeep LearningComputer Vision

Kla

Summer Research Intern

May 2019 – Jul 2019 · 2 mos · Chennai, Tamil Nadu, India

Reviewed various algorithms for image super-resolution.
Modified existing super-resolution methods to work on SEM images and demonstrated significant improvement for downstream tasks.

Computer Vision

Tessact

Co-Founder

Jan 2016 – Jan 2018 · 2 yrs · Mumbai, Maharashtra, India

Conducted extensive research on the inner workings of the media industry in India.
Developed fully automated, Deep Learning based solutions for scalable and accurate video annotation.
Marketed our software to several major Indian media corporations.

Deep Learning